ScholarGate
Assistent

Jämför metoder

Granska de valda metoderna sida vid sida; rader som skiljer sig är markerade.

Learning Progressions Analysis×Cognitive Diagnostic Modeling×
ÄmnesområdeEducationEducation
FamiljProcess / pipelineLatent structure
Ursprungsår20092010
UpphovspersonScience and mathematics education research (Corcoran, Mosher, Rogat; Wilson; Clements & Sarama)Tatsuoka; DiBello, Roussos & Stout; Junker & Sijtsma; de la Torre
TypEmpirically grounded ordered description of how understanding develops over timeRestricted latent class models for diagnosing mastery of discrete skills
UrsprungskällaCorcoran, T., Mosher, F. A., & Rogat, A. (2009). Learning Progressions in Science: An Evidence-Based Approach to Reform (CPRE Research Report RR-63). Consortium for Policy Research in Education. link ↗Rupp, A. A., Templin, J., & Henson, R. A. (2010). Diagnostic Measurement: Theory, Methods, and Applications. Guilford Press. ISBN: 9781606235270
AliasLearning Trajectories, Progress Variables, Learning Progression Validation, Construct MapsCDM, Diagnostic Classification Models, DCM, DINA / G-DINA Models
Närliggande44
SammanfattningLearning progressions analysis is a methodology for describing and validating the typical paths by which students' understanding of a core concept grows more sophisticated over time. A learning progression hypothesizes an ordered sequence of increasingly advanced ways of thinking — from naive ideas to expert understanding — and then tests that ordering against evidence of how students actually reason. Prominent in science and mathematics education, it links a theory of the domain, the design of assessment tasks, and a measurement model into a coherent description of conceptual development.Cognitive diagnostic models (CDMs), also called diagnostic classification models, are restricted latent class models that report not a single ability score but a profile of which discrete skills or attributes a student has mastered. Each item is linked to the attributes it requires through a Q-matrix, and the model classifies every examinee into one of the possible binary mastery patterns. CDMs answer 'which specific skills does this student lack' rather than 'how much overall ability does this student have,' making them central to fine-grained diagnostic and formative assessment.
ScholarGateDatamängd
  1. v1
  2. 2 Källor
  3. PUBLISHED
  1. v1
  2. 2 Källor
  3. PUBLISHED

Gå till sökningen Ladda ner bildspel

ScholarGateJämför metoder: Learning Progressions Analysis · Cognitive Diagnostic Modeling. Hämtad 2026-06-24 från https://scholargate.app/sv/compare